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34 lines (34 loc) · 1.18 KB
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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "Driver Drowsiness Detection System"
version: 0.1.0
date-released: 2025-11-12
authors:
- family-names: "Mittal"
given-names: "Divit"
email: "64.69.76.69.74.m@gmail.com"
repository-code: "https://github.com/DivitMittal/Driver-Drowsiness-Detection"
url: "https://github.com/DivitMittal/Driver-Drowsiness-Detection"
abstract: >-
A real-time Driver Drowsiness Detection system that mitigates vehicular
accident risks by leveraging advanced computer vision techniques and deep
learning, specifically employing Siamese Neural Networks. The system performs
continuous monitoring of the driver's facial region via a standard camera feed,
analyzing key physiological indicators including Eye Aspect Ratio (EAR), head
pose estimation, and mouth state analysis (yawning detection) to provide timely
alerts for drowsiness and fatigue.
keywords:
- drowsiness-detection
- driver-monitoring
- computer-vision
- deep-learning
- siamese-neural-networks
- facial-recognition
- eye-tracking
- real-time-detection
- opencv
- tensorflow
- keras
- safety-systems
license: MIT